Anonyflow AI Agent
Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Anonyflow MCP or direct API to anonymize sensitive data, encrypt records, manage privacy policies, and share data securely through natural language.
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Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
▪ Tools & Triggers
Supported Tools and Triggers
Every Anonyflow action and event your agent gets out of the box.
Anonymize Packet
Tool to anonymize a JSON data packet with support for partial anonymization. Use when you need to conceal specific fields in structured data. If keys array is empty, the complete data packet will be anonymized.
Anonymize Value
Tool to anonymize a string or array of string values. Use when you need to conceal sensitive text before storage or transmission. Example: `AnonymizeValue().execute(AnonymizeValueRequest(data=['secret']))` Limitations: Only supports list of strings, not nested structures.
Deanonymize Packet
Tool to deanonymize a JSON data packet using your private key. Use after receiving an anonymized packet to recover specific fields.
Deanonymize Value
Tool to deanonymize one or more anonymized string values. Use when you need to recover the original plaintext values after encryption-based anonymization. Example: `DeanonymizeValue().execute(DeanonymizeValueRequest(data=["<anonymized_string>"]))`
Test Connection
Tool to test the connection to the AnonyFlow API. Use when verifying that the AnonyFlow service is reachable and operational before performing anonymization tasks. Example: `TestConnection().execute(TestConnectionRequest())`
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